Updated: 02 Dec 2019

4.2.3.  DATA_GROUP

The global attribute DATA_GROUP has a two-field entry, specifying the origin of the data (experimental, model, or a combination of both) and the spatial characteristics of the data. The spatial characteristics indicate the dimensionality of the spatial grid of the dataset for a single data element, in addition to whether the spatial grid moves in space with time. The dimensionality that is expressed in DATA_GROUP by SCALAR(0D), PROFILE  (1D), and FIELD(2D or more) refers to the spatial dimensionality of the target in the dataset only. This is best explained by considering the example of an airborne LIDAR system: At a given point in time, this LIDAR system provides measurements at a single latitude and longitude location but for multiple altitudes. With time, this 1-dimensional spatial grid (fixed latitude and longitude, vector of altitudes) is moving in latitude and longitude. The two-field entry for this example thus becomes  EXPERIMENTAL;PROFILE.MOVING. For a list of allowed variables please refer to Table 7.2.


Entry: Two semicolon-separated fields

Format: Data origin;spatial characteristics

Example 1: DATA_GROUP = EXPERIMENTAL;SCALAR.STATIONARY for a time-seriesof groundbased column measurements

Example 2: DATA_GROUP = MODEL;FIELD.STATIONARY for a 3-D model output on a fixed spatial grid

Title Comment
MIXED Assimilation analyses
MODEL Pure model results

Title Comment
FIELD.MOVING Spatial dimension greater than or equal to 2 | data grid moves
FIELD.STATIONARY Spatial dimension 0 | data grid fixed
PROFILE.MOVING Spatial dimension 1 | data vector location moves
PROFILE.STATIONARY Spatial dimension 1 | data vector location fixed
SCALAR.MOVING Spatial dimension 0 | data location moves
SCALAR.STATIONARY Spatial dimension 0 | data location fixed